Technical cofounder behind Ohmystream. 

- Built and designed the app from scratch.
- React JS, Node, Express, PostgreSQL, websockets, AWS, and FFmpeg.
- Support hundreds of streamers and listen to feedback to improve product.
- #8 on Product Hunt: https://www.producthunt.com/posts/ohmystream

- Constructed web application with React JS to serve 88,000 monthly users with a ~ 40% conversion rate
- Created endpoints on the Node JS and Express backend to handle Spanish speaking customer's orders
- Scaled to $40,000/per day in revenue
- Interviewed software engineering candidates for open roles

- Constructed web application with React JS for a rapidly scaling startup to serve ~100,000 monthly users with a ~ 40% conversion rate
- Worked with a YC startup to transition their React Native application from v0.59.10 to v0.63.4 and from class based components to hooks with Typescript
- Collaborated with a startup called Worthi to build their mobile app using React Native
- Worked with an audio social network startup in the Mozilla Builders Incubator to build their mobile app before demo day. Used React Native, Redux, Expo, and Firebase. 
- Built React Native mobile app for ex-NASA/Apple founders who created a Robotics startup called Sequoia Robotics
- Crafted React web app for the previous founder of TranscribeMe (raised > $6 million) to help get Americans face masks
- Created React web app for a duo of SV founders to help restaurants get reviews from patrons using QR codes
- Developed chrome extension for a sales agency to prevent salespeople from misspelling their prospect's name

- Responsible for front-end development
- Software used facial recognition to prevent shoplifters in retail stores 
- Created web app using React for frontend. Backend was Django/MySQL with facial recognition API
- Tested almost every free React visualization library. Used React Google Charts.
- Version tracking was done via BitBucket.
- Raised a small round of funding from friends to continue development 
- Reached out to customers/users via cold email
- Due to lack of product-market fit used facial recognition to quickly build a mobile app 
- Mobile app was intended to identify SV investors using facial recognition 
- Scraped publicly available investor database using python and beautiful soup
- Emailed journalists to write about the app
- App was featured in the Verge/Vox Media, Product Hunt, Inc Magazine (Russia), and Coda Story

Tosh Velaga

Software Engineer